首页> 外文期刊>Management of Biological Invasions >Optimizing sampling effort to detect rusty crayfish ( Orconectes rusticus ) in southern Ontario rivers
【24h】

Optimizing sampling effort to detect rusty crayfish ( Orconectes rusticus ) in southern Ontario rivers

机译:优化采样工作以检测安大略省南部河流中的生锈小龙虾(Orconectes Rustus)

获取原文
       

摘要

The distribution and status of native and non-native crayfish are monitored across hundreds of lakes in Ontario (Canada). However, a corresponding effort has not been undertaken in flowing waters. Reliable and efficient sampling methods are essential for the detection of new aquatic invaders and tracking the spread of existing invasive species. In this study, a recent dataset for the invasive rusty crayfish ( Orconectes rusticus ) was used to determine whether the detection probability associated with intensive sampling by hand-capture (20 minutes) of 10 transects could be achieved with fewer transects. Results indicate that sampling more than three transects does not improve rusty crayfish detection. Monitoring designs based on three transects would reduce search effort by 140 minutes at each site; permitting greater spatial coverage or more frequent sampling.
机译:在加拿大安大略省的数百个湖泊中,对本地和非本地小龙虾的分布和状况进行了监测。但是,在流水中还没有做出相应的努力。可靠和有效的采样方法对于检测新的水生入侵者和跟踪现有入侵物种的扩散至关重要。在这项研究中,使用了入侵性锈蚀小龙虾(Orconectes Rustus)的最新数据集来确定用更少的样条可以实现与手工捕获密集采样(20分钟)相关的10个样条的检测概率。结果表明,对三个以上样点进行采样并不能改善生锈的小龙虾的检测。基于三个样条的监视设计将使每个站点的搜索工作减少140分钟;允许更大的空间覆盖范围或更频繁的采样。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号